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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Akamai Cloud Partners with Control Plane to Leverage Universal Cloud Identity

Control Plane is now a technology partner of Akamai Cloud. You can add regions from Akamai Cloud to your Global Virtual Cloud in Control Plane. And by leveraging Control Plane’s Universal Cloud Identity, workloads running on Akamai Cloud regions can still consume any service of AWS, GCP, or Azure with no credentials embedded in the workload.

Back-to-school demand, handled: AI-powered capacity planning in one cloud DCIM

When back-to-school demand shifts overnight, your team can’t afford to chase answers across scattered spreadsheets and tools. You need a clear picture of available capacity, constraints, and priorities—all in one place. Hyperview’s cloud-based DCIM offers AI-powered capacity planning software that puts real-time capacity insights on a single dashboard, so you can act quickly and confidently as seasonal demand ramps up.

6 Things to Know Before Choosing an SEI Platform in 2026

Choosing a software engineering intelligence platform is one of those decisions that gets more complicated the longer you wait. The category has grown rapidly, and every vendor claims to track the metrics that matter. GitKraken Insights gives you a full-stack view of engineering performance, from DORA metrics to AI tool ROI, in a platform trusted by over 40 million developers. But it isn’t the only option on the market.

Multi-Cloud Asset Inventory in 1 Minute

How many resources do you actually have across every cloud provider? Manually, that's a ~2 hour job. With CloudQuery, it's one question. In this clip we ask the CloudQuery AI assistant a single question —"Show count of all resources across all cloud providers" — and get a full multi-cloud asset inventory back in about a minute: Wiz 9,225 · GCP 6,485 · AWS 2,297 · Azure 1,153 · Entra ID 1,109 · Kubernetes 1,066 · Backstage 75 → 21,410 total resources.

Find Every Public EC2 Instance in 10 Minutes

"Show me all EC2 instances that are public." One question. About 10 minutes. Manually, the same answer is a 10-day job. In this clip, the CloudQuery AI assistant works it out live: it finds the EC2 instances table, reads the schema, identifies public_ip_address as the field that signals public exposure, and queries for every instance that has one. It comes back with 2 running public EC2 instances — instance type, public IP and DNS, private IP, VPC, subnet and tags for each — and flags that both are reachable from the internet, subject to security group rules.

ChatGPT Ditches Reddit AI Search Changes Explained

ChatGPT’s Reddit citations reportedly went from making up as much as 15% of its sources to essentially 0%. So what changed? We break down why Reddit is becoming less visible in AI search, how ChatGPT appears to be changing the way it finds information, and why more citations are now coming directly from documentation, help centers, and company websites. And yes — this is the same Reddit ecosystem that helped give us the infamous “put glue on your pizza” AI answer.

Why Microsoft Sat on a Copilot Exploit for 233 Days

Microsoft took 233 days to patch CoSnitch — a one-click Copilot exploit that needs no click at all. And the researchers who found it never wrote an exploit. They asked Copilot to explain why the attack was impossible, and it told them how to do it. Martin Reynolds and Adam Arellano are joined by Matthew Tanner — 30 years shipping software, from NHS critical systems to national-scale financial redress — for the week in AI and software delivery.

Developer Self-Service Pipelines with Harness IDP

Developer self-service pipelines fail most often at the handoff between resource provisioning and production deployment. A service catalog might let developers scaffold a new microservice in seconds, but if they still need to file tickets to wire up CI/CD, provision environments, or update deployment configurations, the value proposition collapses. The friction reappears exactly where velocity matters most: the path from code commit to running production workload.

Background AI agents, meet task containers

Task containers are now generally available on Upsun Cloud, giving you a place to run AI agents alongside the rest of your application. The agent runs as a container inside your Upsun Cloud project, next to the app it works on, with the same access to your environment and data as everything else deployed there. The lifecycle is the part that's new: it fits how agent workloads behave instead of forcing them to pretend to be servers. A few things up front: This is a hands-on guide.